National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Arthritis (1)
- Asthma (1)
- Behavioral Health (1)
- Clinician-Patient Communication (1)
- Communication (1)
- Depression (1)
- Diabetes (1)
- (-) Electronic Health Records (EHRs) (4)
- Evidence-Based Practice (2)
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 4 of 4 Research Studies DisplayedHumbert-Droz M, Izadi Z, Schmajuk G
Development of a natural language processing system for extracting rheumatoid arthritis outcomes from clinical notes using the national rheumatology informatics system for effectiveness registry.
Researchers developed and evaluated a natural language processing pipeline for extracting outcome measures in rheumatology from free-text outpatient rheumatology notes within the ACR's Rheumatology Informatics System for Effectiveness (RISE) registry. All patients in RISE from 2015 to 2018 were included. The researchers found the pipeline to have good internal and external validity and they concluded that it could facilitate measurement of clinical and patient reported outcomes for use in both research and quality measurement.
AHRQ-funded; HS025638.
Citation: Humbert-Droz M, Izadi Z, Schmajuk G .
Development of a natural language processing system for extracting rheumatoid arthritis outcomes from clinical notes using the national rheumatology informatics system for effectiveness registry.
Arthritis Care Res 2023 Mar; 75(3):608-15. doi: 10.1002/acr.24869..
Keywords: Arthritis, Electronic Health Records (EHRs), Health Information Technology (HIT), Outcomes, Patient-Centered Outcomes Research, Evidence-Based Practice
Coley RY, Boggs JM, Beck A
Predicting outcomes of psychotherapy for depression with electronic health record data.
This study evaluated models for predicting outcomes of psychotherapy for depression in a clinical practice setting. Findings showed that prediction models did not accurately predict depression treatment outcomes despite using rich electronic health record data and advanced analytic techniques. Recommendations included caution when considering prediction models for psychiatric outcomes using baseline intake information and transparent research to evaluate performance of any model intended for clinical use.
AHRQ-funded; HS026369.
Citation: Coley RY, Boggs JM, Beck A .
Predicting outcomes of psychotherapy for depression with electronic health record data.
J Affect Disord Rep 2021 Dec;6:100198. doi: 10.1016/j.jadr.2021.100198..
Keywords: Depression, Behavioral Health, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient-Centered Outcomes Research, Outcomes
Patel MR, Smith A, Leo H
Improving patient-provider communication and therapeutic practice through better integration of electronic health records in the exam room: a pilot study.
This study assessed the effectiveness of providing physicians who use electronic health records (EHRs) education for communication strategies and its impact on patient outcomes. The evidence-based Physician Asthma Care Education (PACE) program was extended in a pilot program using 18 providers and 126 adult patients with persistent asthma. Outcomes were assessed at baseline and 3- and 6-month postintervention intervals. Providers who completed the EHR-PACE program felt more confident in communicating with their patients, but there was no significant changes in patient asthma outcomes or their perceptions of their provider’s communication skills.
AHRQ-funded; HS023786.
Citation: Patel MR, Smith A, Leo H .
Improving patient-provider communication and therapeutic practice through better integration of electronic health records in the exam room: a pilot study.
Health Educ Behav 2019 Jun;46(3):484-93. doi: 10.1177/1090198118796879..
Keywords: Asthma, Clinician-Patient Communication, Communication, Electronic Health Records (EHRs), Evidence-Based Practice, Health Information Technology (HIT), Outcomes, Patient-Centered Healthcare, Patient-Centered Outcomes Research
Flory JH, Keating SJ, Siscovick D
Identifying prevalence and risk factors for metformin non-persistence: a retrospective cohort study using an electronic health record.
Non-persistence may be a significant barrier to the use of metformin. The objective of this study was to assess reasons for metformin non-persistence, and whether initial metformin dosing or use of extended release (ER) formulations affect persistence to metformin therapy. The investigators concluded that their data supported the routine prescribing of low starting doses of metformin as a tool to improve persistence.
AHRQ-funded; HS023898.
Citation: Flory JH, Keating SJ, Siscovick D .
Identifying prevalence and risk factors for metformin non-persistence: a retrospective cohort study using an electronic health record.
BMJ Open 2018 Jul 23;8(7):e021505. doi: 10.1136/bmjopen-2018-021505..
Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Patient Adherence/Compliance, Outcomes, Patient-Centered Outcomes Research, Risk